Budget design projections in oil companies

The objective of this research work is to determine the most appropriate and accurate projection method to be used in financial projections, mainly in the elaboration of the statement of income, in which the incomes, costs and expenses of an oil company are recorded. In order to ac...

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Autor Principal: Elizalde, Roberto C.
Formato: Artículo revista
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Publicado: Ediciones UNL. Secretaría de Extensión de la UNL 2021
Acceso en línea:https://bibliotecavirtual.unl.edu.ar/publicaciones/index.php/CE/article/view/10482
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spelling oai:bibliotecavirtual.unl.edu.ar:article-104822021-07-21T20:34:04Z Budget design projections in oil companies Diseño de método presupuestal para compañías de servicios petroleros Elizalde, Roberto C. The objective of this research work is to determine the most appropriate and accurate projection method to be used in financial projections, mainly in the elaboration of the statement of income, in which the incomes, costs and expenses of an oil company are recorded. In order to achieve this, information about the results statement (profit and losses summaries) of the last three years has been collected to apply different statistical methods and compare the results to determine the differences among them, and therefore be able to decide which the best statistical method is. The present investigation is considered a non-experimental study since the actual data obtained will not be modified. Moreover, all the calculations were made using Microsoft Excel. The projection methods evaluated include the method of absolute increase, percentage increase, moving average and the method of least squares. It is possible to compare them both vertically and horizontally. Both types of comparison have shown that the absolute increase method is the most accurate one when making budget projections, followed by the method of least squares. Consequently, the percentage increase and the moving average methods analyzed are the least accurate ones. La presente investigación fue realizada para determinar el método de proyección más adecuado y preciso que se utilizará en las proyecciones financieras, principalmente en la elaboración del estado de resultados donde se registran los ingresos, costos y gastos de una empresa de servicios petroleros. Con este objetivo se ha recopilado la información suficiente acorde a la presentación de los resultados de los tres últimos años para que en base a ello se apliquen los métodos de proyección y luego se establezca la diferencia entre ellos. El texto se considera como un estudio no experimental puesto que los datos reales que se obtengan no serán modificados. Cabe mencionar también que los cálculos realizados se efectuaron mediante Microsoft Excel. Entre los métodos de proyección que se evaluaron se encuentran el método de incremento absoluto, de incremento porcentual, de promedio móvil y el método de mínimos cuadrados, por lo que al realizar un comparativo entre ellos es posible hacerlo de forma vertical y horizontal. Cabe destacar que en ambas comparaciones se determina que el método de incremento absoluto es el más preciso al realizar proyecciones presupuestales, seguido del método de mínimos cuadrados, por lo que tanto el método de incremento porcentual y como el promedio móvil ponderados son menos precisos. Ediciones UNL. Secretaría de Extensión de la UNL 2021-07-19 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion artículo Articulo info:ar-repo/semantics/artículo application/pdf application/pdf https://bibliotecavirtual.unl.edu.ar/publicaciones/index.php/CE/article/view/10482 10.14409/rce.v2i0.10482 Ciencias Económicas; Vol. 2 (17): Ciencias Económicas; 9-19 Ciencias Económicas; Vol 2 (17): Ciencias Económicas; 9-19 2362-552X 1666-8359 10.14409/rce.v2i1 spa info:eu-repo/grantAgreement/EC/FP7/ https://bibliotecavirtual.unl.edu.ar/publicaciones/index.php/CE/article/view/10482/13950 https://bibliotecavirtual.unl.edu.ar/publicaciones/index.php/CE/article/view/10482/13949 info:eu-repo/semantics/openAccess Derechos de autor 2021 Roberto C. Elizalde http://creativecommons.org/licenses/by-nc-sa/4.0
institution Universidad Nacional del Litoral
collection Publicaciones periódicas
language spa
format Artículo revista
description The objective of this research work is to determine the most appropriate and accurate projection method to be used in financial projections, mainly in the elaboration of the statement of income, in which the incomes, costs and expenses of an oil company are recorded. In order to achieve this, information about the results statement (profit and losses summaries) of the last three years has been collected to apply different statistical methods and compare the results to determine the differences among them, and therefore be able to decide which the best statistical method is. The present investigation is considered a non-experimental study since the actual data obtained will not be modified. Moreover, all the calculations were made using Microsoft Excel. The projection methods evaluated include the method of absolute increase, percentage increase, moving average and the method of least squares. It is possible to compare them both vertically and horizontally. Both types of comparison have shown that the absolute increase method is the most accurate one when making budget projections, followed by the method of least squares. Consequently, the percentage increase and the moving average methods analyzed are the least accurate ones.
author Elizalde, Roberto C.
spellingShingle Elizalde, Roberto C.
Budget design projections in oil companies
author_facet Elizalde, Roberto C.
author_sort Elizalde, Roberto C.
title Budget design projections in oil companies
title_short Budget design projections in oil companies
title_full Budget design projections in oil companies
title_fullStr Budget design projections in oil companies
title_full_unstemmed Budget design projections in oil companies
title_sort budget design projections in oil companies
publisher Ediciones UNL. Secretaría de Extensión de la UNL
publishDate 2021
url https://bibliotecavirtual.unl.edu.ar/publicaciones/index.php/CE/article/view/10482
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score 11.8626